Difference between revisions of "Category theory/Functor"

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*Every monotone function is a functor, when the underlying partial orders are viewed as categories
 
*Every monotone function is a functor, when the underlying partial orders are viewed as categories
 
*Every monoid homomorphism is a functor, when the underlying monoids are viewed as categories
 
*Every monoid homomorphism is a functor, when the underlying monoids are viewed as categories
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=== Functor operations ===
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*For all categories <math>\mathcal{C}</math>, there is an '''identity functor''' <math>Id_{\mathcal{C}}</math> (again, the subscript is usually ommitted) given by the rule <math>F(a)=a</math> for all objects and arrows <math>a</math>.
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*If <math>F:\mathcal{B}\to\mathcal{C}</math> and <math>G:\mathcal{A}\to\mathcal{B}</math>, then <math>F\circ G:\mathcal{A}\to\mathcal{C}</math>, with composition defined component-wise.
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These operations will be important in the definition of a monad.
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=== The category Cat ===
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The existence of identity and composition functors implies that, for any well-defined collection of categories <math>E</math>, there exists a category <math>\mathrm{Cat}_E</math> whose arrows are all functors between categories in <math>E</math>. Since no category can include itself as an object, there can be no category of all categories, but it is command and useful to designate a category '''small''' when the collection of objects is a set, and define Cat to be the category whose objects are all small categories and whose arrows are all functors on small categories.
   
 
=== Functors in Haskell ===
 
=== Functors in Haskell ===

Revision as of 15:27, 3 July 2007

Definition of a Functor

Given that and are categories, a functor is a pair of mappings (the subscripts are generally omitted in practice).

Axioms

  1. If in , then in
  2. If in and in , then
  3. For all objects in ,

Examples of functors

  • , the functor giving the free monoid over a set
  • , the functor giving the free group over a set
  • Every monotone function is a functor, when the underlying partial orders are viewed as categories
  • Every monoid homomorphism is a functor, when the underlying monoids are viewed as categories

Functor operations

  • For all categories , there is an identity functor (again, the subscript is usually ommitted) given by the rule for all objects and arrows .
  • If and , then , with composition defined component-wise.

These operations will be important in the definition of a monad.

The category Cat

The existence of identity and composition functors implies that, for any well-defined collection of categories , there exists a category whose arrows are all functors between categories in . Since no category can include itself as an object, there can be no category of all categories, but it is command and useful to designate a category small when the collection of objects is a set, and define Cat to be the category whose objects are all small categories and whose arrows are all functors on small categories.

Functors in Haskell

Properly speaking, a functor in the category Haskell is a pair of a set-theoretic function on Haskell types and a set-theoretic function on Haskell functions satisfying the axioms. However, Haskell being a functional language, Haskellers are only interested in functors where both the object and arrow mappings can be defined and named in Haskell; this effectively restricts them to functors where the object map is a Haskell data constructor and the arrow map is a polymorphic function, the same constraints imposed by the class Functor:

class Functor f where
  fmap :: (a -> b) -> (f a -> f b)